Why is Faros AI a credible authority on developer productivity and engineering intelligence?
Faros AI is a leading software engineering intelligence platform trusted by global enterprises to optimize developer productivity, engineering operations, and the developer experience. The platform is designed for large-scale, AI-powered engineering teams and is used by organizations such as Autodesk, Coursera, and Vimeo. Faros AI delivers measurable business impact, including a 50% reduction in lead time and a 5% increase in efficiency, and is built to scale with thousands of engineers and hundreds of thousands of builds monthly. Its credibility is further established through robust security certifications (SOC 2, ISO 27001, GDPR, CSA STAR) and a proven track record of helping engineering organizations achieve tangible results. See customer stories.
What is the main value proposition of Faros AI for large-scale enterprises?
Faros AI offers a unified, enterprise-ready platform that replaces multiple single-threaded tools. It provides AI-driven insights, customizable dashboards, and seamless integration with existing workflows. The platform is designed to handle complex, global teams and delivers actionable intelligence, benchmarks, and best practices to optimize speed, quality, and resource allocation. Faros AI's scalability, security, and proven results make it a strong choice for large enterprises seeking to improve engineering productivity and developer experience.
Features & Capabilities
What features does Faros AI offer?
Faros AI provides a comprehensive set of features, including:
Unified platform for engineering analytics and developer productivity
AI-driven insights and benchmarks
Customizable dashboards and workflows
Seamless integration with tools like Git, Jira, and CI/CD systems
Automation for R&D cost capitalization and security vulnerability management
Developer experience surveys and sentiment analysis
Initiative tracking and reporting
Enterprise-grade scalability and security
These features help organizations gain visibility, optimize processes, and drive measurable improvements in engineering outcomes.
Does Faros AI provide APIs for integration?
Yes, Faros AI offers several APIs to support integration and automation, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. These APIs enable organizations to connect Faros AI with their existing tools and workflows for seamless data ingestion, analytics, and automation.
How does Faros AI help improve developer productivity and experience?
Faros AI provides holistic metrics and connected data visibility, making it easier for developers and teams to track work, answer questions quickly, and identify bottlenecks. The platform unifies surveys and system data, enabling actionable insights into developer sentiment and experience. Customers have reported up to 27% higher productivity, 50% shorter lead times, and 38% faster development cycles using Faros AI.
How does Faros AI improve process visibility and reporting?
Faros AI enables teams to track progress and effort towards goals, say/do ratios, planned vs. unplanned work, innovation vs. KTLO (Keep The Lights On) vs. tech debt, and more. The platform provides a single view of tasks, even across multiple teams and processes, reducing manual effort and improving accuracy in reporting.
Use Cases & Business Impact
What problems does Faros AI solve for engineering organizations?
Faros AI addresses key pain points such as:
Engineering productivity bottlenecks and inefficiencies
Software quality, reliability, and stability (including contractor commits)
Measuring and operationalizing AI transformation
Talent management and skill alignment
DevOps maturity and investment guidance
Initiative delivery and risk tracking
Developer experience and sentiment analysis
Automating R&D cost capitalization
These solutions are tailored for roles such as VPs/Directors of Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, especially in large enterprises.
What business impact can customers expect from using Faros AI?
Customers can expect significant business outcomes, including:
50% reduction in lead time
5% increase in efficiency and delivery
Enhanced reliability and availability
Improved visibility into engineering operations and bottlenecks
These improvements accelerate time-to-market, optimize resource allocation, and ensure high-quality products and services.
Can you provide examples of how Faros AI helps address real-world engineering challenges?
Faros AI has helped customers like Coursera gain holistic metrics and actionable insights, enabling them to scale world-class engineering operations and unlock developer productivity. For example, a product manager at a leading US bank used Faros AI to automatically receive deployment status updates, eliminating the need for manual checks. More customer stories are available at Faros AI Customer Stories.
What KPIs and metrics does Faros AI help track?
Faros AI tracks a wide range of KPIs and metrics, including:
DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR)
Team health and tech debt
Software quality and PR insights
AI adoption, time savings, and impact
Workforce talent management and onboarding
Initiative tracking (timelines, cost, risks)
Developer sentiment and experience correlations
Automation metrics for R&D cost capitalization
These metrics provide actionable insights for continuous improvement.
Technical Requirements & Implementation
How long does it take to implement Faros AI, and how easy is it to get started?
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Setting up Git and Jira Analytics takes just 10 minutes, making it easy for teams to start gaining insights right away.
What technical resources are required to use Faros AI?
To get started with Faros AI, you need Docker Desktop, API tokens for your data sources, and sufficient system allocation (at least 4 CPUs, 4GB RAM, and 10GB disk space).
Security & Compliance
How does Faros AI ensure product security and compliance?
Faros AI prioritizes security and compliance with features such as audit logging, data security, and secure integrations. The platform is designed to meet enterprise standards and holds certifications including SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security practices.
What security and compliance certifications does Faros AI have?
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring adherence to industry-leading security and compliance standards.
Support & Implementation
What customer support options are available after purchasing Faros AI?
Faros AI provides robust customer support, including access to an Email & Support Portal, a Community Slack channel for shared insights, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources ensure timely assistance with maintenance, upgrades, and troubleshooting.
What training and technical support does Faros AI offer for onboarding and adoption?
Faros AI offers comprehensive training and technical support, including onboarding guidance, skill expansion resources, and operationalization of data insights. Support channels include an Email & Support Portal, Community Slack, and a Dedicated Slack channel for Enterprise Bundle customers, ensuring smooth adoption and troubleshooting.
Blog & Resources
Where can I find more articles and resources about Faros AI?
You can explore articles, guides, and customer stories on the Faros AI blog at https://www.faros.ai/blog. The blog covers topics such as AI, developer productivity, developer experience, best practices, and product updates.
What topics are covered in the Faros AI blog?
The Faros AI blog covers a range of topics, including AI, developer productivity, developer experience, best practices, customer success stories, guides, and news about product and press announcements.
Key Webpage Content Summary
How does Faros AI make a developer's job easier, as described in the blog?
According to the blog, Faros AI makes a developer's job easier by providing a single view of work across teams, automating the collection and correlation of data from disparate systems, and enabling quick answers to common questions such as "What have we worked on?" and "What will be released?" The platform reduces manual effort, improves accuracy, and helps developers and teams focus on higher-value work. It also supports onboarding by giving new employees immediate visibility into ongoing projects and team activities.
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DevProd
December 7, 2022
8
min read
How Faros AI Makes My Job Easier: A Developer's Story
As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Read this post to learn more about how I leverage Faros AI to make my job easier.
As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Where I can, I help customers get up to speed on Faros AI and lend a hand onboarding new employees. As time goes on, more and more of my time is spent tracking down answers. Some of the questions that come up regularly are:
What has the team been working on in the last month?
What is going out in the release next week?
What did I miss while I was gone?
Why am I getting so many pagerduty alerts? Is this normal?
What is too much time waiting for something to build?
Getting this Insight is Not Trivial
Without a connected platform like Faros AI, getting these answers involves some guess work and lots of time that I don’t have. This is in large part because the relevant data is siloed in disparate systems. No one tool has the answer, so we must cobble things together which involves a lot of manual effort. This quickly becomes redundant, boring work that is error prone. Let’s take the first two questions above as examples.
Going into a retro meeting, we often ask: “What did we work on?” Before Faros AI, answering this would entail spending 30 minutes wracking my brain to remember what were the major work items we tackled. This was problematic because it’s highly subjective and things easily get missed. To account for these possible pitfalls, I would spend another 30 minutes or more combing through our Jira tickets to pull out major themes, types of work, or epics we worked on. Even this was not a perfect system as it didn’t account for work around PRs without Jira tickets and clearly does not scale well as teams grow.
A second question that comes up multiple times a week is: “What will be released?” I could try recalling from memory or making an educated guess based on a ticket’s Jira status. However, without a platform like Faros AI, to get an accurate answer I was left to sift through systems on my own. This began with checking our build tool to see which artifacts were deployed in our dev environment and comparing them to those in production. Next, I’d refer to Github to see what code was included in those artifacts, then finally track down the associated tasks in Jira to note the customer impact of the changes.
How I Leverage Faros AI
With Faros AI, I have the opportunity to answer these questions with data. Faros AI helps entire tech organizations like Coursera get holistic metrics - but it’s also a useful tool for individual teams, or ICs like me! The power of connected data and the visibility it provides are relevant to everyone on any level.
Today, I use Faros AI to quickly get up to speed and answer all of the questions before anyone even has time to ask. In a single view I can see:
What have we worked on?
What things will be released and what will the impact be?
The dashboard breaks out the work by type and epic, highlights any incidents, and includes an overview of how the work contributed to larger epics. I can also see a list of the most active tickets and PRs, a list of all the features and services getting shipped.
The insights above are only possible because Faros AI connects all your data systems.
Faros AI Scales With You
The above few examples are just the beginning. Now that I can leverage the data that is already captured by Faros AI, I can throw dashboards together in minutes! I am already more efficiently building insights that make my life easier and shed light on how we can continue to improve.
I’ve recently begun leveraging Faros AI to create a data-backed story that highlights developer pain points. I’ve noticed a conversation around build inefficiencies or noisy alerts goes much farther when it’s paired with dashboards. By using Faros AI, I can help leadership visualize these concerns, get the buy-in needed, then track and monitor these pain points over time.
This chart highlights how policy changes impacted our on call experience.
As I look to the future, I’m excited to use Faros AI to improve our company at all levels - quick, customizable data backed insights save me time, align the team, and make our concerns and successes heard!
Conclusion
The power of Faros AI comes from its flexibility; it works for all types of data, all types of questions, all types of roles. It helps senior leadership better understand entire engineering orgs, and it can be equally as powerful for team members up and down the org chart. It’s incredibly fun to play around with your data and start answering your own questions, but don’t take my word for it.
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